Chunking and Storing of Sensitive Data in Public Cloud for Hospital Management Visumathi J., Jayarin P. Jesu, Rose P. Shyja Department of Computer Science and Engineering, Jeppiaar Engineering College, India Online published on 2 August, 2016. Abstract Big data refers to the dynamic, bombastic and different bulk of data being produced by individuals and machines. It requires new, innovative and scalable technology to gather, emcee and analytically proctitis the huge amount of data gathered in order to derive real-time business insights that associate to consumers, risk, profit, execution, productivity management and enhanced shareholder value. If the data is shown to the other side people means, it violates the privacy of the information. So it is need to provide the privacy over the micro data. Here we consider the dataset as electronic health care records, which contain the personal sensitive information's. Most of the existing systems are failed because of scalability, utilization of data and security of data on the public cloud. In proposed system it is need to store the data in an secure format. For that an effective system or infrastructure is used. If the information is transfer from one place to another means how to securely transfer the data and also how to provide the privacy over the sensitive information's. For adminicle, they do not need to build their own up infrastructure. It can reduce the cost of consumption. All the data's are stored on the cloud in the encrypted form by using an efficient encryption algorithm. Hybrid bunching technique is introduced for overcome the problem of existing system. To gain high scalability of data Map Reduce algorithm is used. For keeping both data confidentiality and patient's identity on public cloud a organization novel authorized accessible privacy model is used, which can provide the specific access of data on public cloud by setting an access tree. Top Keywords Big data, Sensitive information, Encryption, MapReduce, Public cloud, Hybrid clustering, AAPM. Top |